chschroeder

active-learning-with-rubrix

ml-road

Machine Learning Resources, Practice and Research

ALiPy

ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.

argilla

✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

chschroeder

dco-check

Simple DCO check script to be used in any CI

docker-python

Kaggle Python docker image

github-issue-templates

:symbols: A collection of GitHub issue and pull request templates

liblinear-java

Java version of LIBLINEAR

llm.c

LLM training in simple, raw C/CUDA

Megatron-LM

Ongoing research training transformer models at scale

mistral-src

Reference implementation of Mistral AI 7B v0.1 model.

ml-engineering

Machine Learning Engineering Guides and Tools

pdf-extraction

pdoc-sphinx-theme

pytextvis

A Visualization for text scores.

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

setfit

Efficient few-shot learning with Sentence Transformers

small-text

Active Learning for Text Classification in Python

small-text-feedstock

A conda-smithy repository for small-text.

staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

SuperGLEBer

German Language Understanding Evaluation Benchmark @NAACL24

text-classification-docker

An opinionated composition of python tools for text classification.

vi-data-filtering

welford

python (numpy) implementation of welford algorithm

xgb-svm-docker